DocumentCode :
848715
Title :
Incorporating Generic and Specific Prior Knowledge in a Multiscale Phase Field Model for Road Extraction From VHR Images
Author :
Peng, Ting ; Jermyn, Ian H. ; Prinet, Véronique ; Zerubia, Josiane
Author_Institution :
INRIA, Sophia Antipolis
Volume :
1
Issue :
2
fYear :
2008
fDate :
6/1/2008 12:00:00 AM
Firstpage :
139
Lastpage :
146
Abstract :
This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a ldquophase fieldrdquo. In order to overcome the difficulties due to the complexity of the information contained in VHR images, we propose a multiscale statistical data model. It enables the integration of segmentation results from coarse resolution, which furnishes a simplified representation of the data, and fine resolution, which provides accurate details. Moreover, an outdated GIS digital map is introduced into the model, providing specific prior knowledge of the road network. This new term balances the effect of the generic prior knowledge describing the geometric shape of road networks (i.e., elongated and of low-curvature) carried by a ldquophase field higher order active contourrdquo term. Promising results on QuickBird panchromatic images and comparisons with several other methods demonstrate the effectiveness of our approach.
Keywords :
feature extraction; geographic information systems; geophysics computing; roads; GIS digital map; QuickBird panchromatic images; dense urban areas; generic prior knowledge; geographic information systems; multiscale statistical data model; phase field higher order active contour; phase field model; road extraction; road network; road networks geometric shape; updating digital road maps; very high resolution satellite images; Automation; Data mining; Earth; Geographic Information Systems; Image resolution; Information systems; Remote sensing; Roads; Satellites; Urban areas; Dense urban area; geographical information system (GIS); multiscale analysis; road network extraction; variational model; very high resolution (VHR) image;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2008.922318
Filename :
4609445
Link To Document :
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